Speaker: 楊肅煜教授 (國立中央大學數學系)
Title: A Mini-Course on Mathematical Image Processing
Abstract:
Lecture 3: Image contrast enhancement, part I
In this lecture, we will introduce some techniques for contrast enhancement:
(1) Histogram equalization (HE);
(2) Automatic color equalization (ACE);
(3) Simplest color balance (SCB).
Lecture 4: Image contrast enhancement, part II
In this lecture, we will introduce some variational models for contrast
enhancement:
(1) Variational models of Morel-Petro-Sbert;
(2) An adaptive variational model of Hsieh-Shao-Yang.
Date: Friday, May 27, 2022
Time: 13:20-16:20
Venue: 線上
https://meet.google.com/ceg-xhxi-mde[1]